Web3Way Logo

Short Trade on ICP

Previous Trade Next Trade

Short Trade on ICP 14 Sep 2025 at 23:54:53

Take profit at 4.8621 (0.61 %) and Stop Loss at 4.907 (0.31 %)

Short Trade on ICP

The 14 Sep 2025 at 23:54:53

With 534.9377 ICP at 4.892$ per unit.

Position size of 2616.9154 $

Take profit at 4.8621 (0.61 %) and Stop Loss at 4.907 (0.31 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 7
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.74
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.674364

15m : 0.142708

1H : -0.02043

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.009970007513
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 4.87218
  4. ema21 : 4.89918
  5. ema50 : 4.93894
  6. ema100 : 4.94803
  7. price_ema9_diff : 0.00406666
  8. ema9_ema21_diff : -0.00551105
  9. ema21_ema50_diff : -0.00805088
  10. price_ema100_diff : -0.0113254
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0761662
  14. ema_slope_21 : -0.108365
  15. ema_slope_50 : -0.0718644
  16. ema_slope_100 : -0.0358083
  17. rsi : 0.459278
  18. adx : 0.293025
  19. kc_percentage : 0.476361
  20. kc_width_percentage : 0.0415122
  21. volume_ema_diff : -0.197708
  22. volume_ema1 : 314200.14669489
  23. volume_ema2 : 391628.5718482
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 4.87186
  27. ema21 : 4.86759
  28. ema50 : 4.87789
  29. ema100 : 4.90553
  30. price_ema9_diff : 0.00413216
  31. ema9_ema21_diff : 0.000878496
  32. ema21_ema50_diff : -0.00211117
  33. price_ema100_diff : -0.00276014
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0092993
  37. ema_slope_21 : -0.00555571
  38. ema_slope_50 : -0.015776
  39. ema_slope_100 : -0.0201718
  40. rsi : 0.566346
  41. adx : 0.160261
  42. kc_percentage : 0.761386
  43. kc_width_percentage : 0.0190883
  44. volume_ema_diff : -0.219117
  45. volume_ema1 : 66417.940985448
  46. volume_ema2 : 85054.958396113
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 4.88058
  50. ema21 : 4.87266
  51. ema50 : 4.86731
  52. ema100 : 4.8672
  53. price_ema9_diff : 0.00233963
  54. ema9_ema21_diff : 0.00162403
  55. ema21_ema50_diff : 0.00110057
  56. price_ema100_diff : 0.00509517
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0339273
  60. ema_slope_21 : 0.0228972
  61. ema_slope_50 : 0.0106861
  62. ema_slope_100 : 0.00449841
  63. rsi : 0.629527
  64. adx : 0.146912
  65. kc_percentage : 1.01976
  66. kc_width_percentage : 0.00742483
  67. volume_ema_diff : 0.305209
  68. volume_ema1 : 33846.591639651
  69. volume_ema2 : 25931.916147745
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115398
  74. 5m_price_ema100_diff: 
    0.000156955
  75. 5m_price: 
    115416
  76. 5m_correlation_with_coin: 
    0.674364
  77. btc_indicators
  78. 15m_ema100: 
    115519
  79. 15m_price_ema100_diff: 
    -0.000716273
  80. 15m_price: 
    115436
  81. 15m_correlation_with_coin: 
    0.142708
  82. btc_indicators
  83. 1H_ema100: 
    115268
  84. 1H_price_ema100_diff: 
    0.00128389
  85. 1H_price: 
    115416
  86. 1H_correlation_with_coin: 
    -0.02043
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Sep 2025
23:54:53		 15 Sep 2025
01:10:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.892 4.907 4.8621 1.99 2.552
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 4.892
  • Stop Loss: 4.907
  • Take Profit: 4.8621

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.907 - 4.892 = 0.015

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.892 - 4.8621 = 0.0299

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0299 / 0.015 = 1.9933

📌 Position Size

Amount Margin Quantity Leverage
2616.9154 100 534.9377 26.17
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.015

Taille de position = 8 / 0.015 = 533.33

Taille de position USD = 533.33 x 4.892 = 2609.05

Donc, tu peux acheter 533.33 avec un stoploss a 4.907

Avec un position size USD de 2609.05$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 533.33 x 0.015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 533.33 x 0.0299 = 15.95

Si Take Profit atteint, tu gagneras 15.95$

Résumé

  • Taille de position 533.33
  • Taille de position USD 2609.05
  • Perte potentielle 8
  • Gain potentiel 15.95
  • Risk-Reward Ratio 1.9933

📌 Peformances

TP % Target TP $ Target
0.61 % 15.99 $
SL % Target SL $ Target
0.31 % 8.02 $
PNL PNL %
-8.02 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3271 % 106.69 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.8621
            [entry_price] => 4.892
            [stop_loss] => 4.9085
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 02:25:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 4.8621
            [entry_price] => 4.892
            [stop_loss] => 4.91
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 02:25:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 4.8621
            [entry_price] => 4.892
            [stop_loss] => 4.9115
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 02:25:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 4.8621
            [entry_price] => 4.892
            [stop_loss] => 4.9145
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 02:25:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.02
            [max_drawdown] => 0.016
            [rr_ratio] => 1.25
            [high] => 4.90800000
            [low] => 4.87200000
            [mfe_pct] => 0.41
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 1.25
            [candles_analyzed] => 24
            [start_at] => 2025-09-14T23:54:53-04:00
            [end_at] => 2025-09-15T01:54:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.231
            [max_drawdown] => 0.016
            [rr_ratio] => 14.44
            [high] => 4.90800000
            [low] => 4.66100000
            [mfe_pct] => 4.72
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 14.44
            [candles_analyzed] => 84
            [start_at] => 2025-09-14T23:54:53-04:00
            [end_at] => 2025-09-15T06:54:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.89200000
            [high_after] => 4.90800000
            [low_before] => 4.77000000
            [low_after] => 4.66100000
            [is_new_high] => 
            [is_new_low] => 1
        )

)